AI Engineer / AI Developer / AI Specialist

CMC Global is a member of CMC Corporation with an aspiration to bring ICT products, solutions, and services of Vietnam to the international market.

Established in March 2017 as a strategic move of the Corporation to enter the global stage, we are proud to be the leading company in Vietnam in providing a wide variety of comprehensive IT Solutions & Services, ranging from Traditional services to Digital Transformation, as well as Consultancy, to organizations worldwide.

Working location: District 1, Ho Chi Minh City

Working type: Full-time, Onsite

English requirement: Not required

POSITION 1: AI ENGINEER

JOB DESCRIPTION

• Develop AI applications and AI services based on Large Language Models and Generative AI.
• Build end-to-end AI solutions from prototype and proof of concept to production deployment.
• Design and implement RAG pipelines, including document processing, chunking, embedding, vector search and retrieval.
• Develop and optimize prompts for different AI use cases.
• Integrate LLMs with APIs, databases, knowledge bases and enterprise systems.
• Build RESTful APIs and microservices for AI applications.
• Implement evaluation, logging and monitoring mechanisms for AI services.
• Troubleshoot and optimize AI applications regarding output quality, hallucination, context, token usage, latency and operational cost.
• Work closely with AI Specialists, Backend Engineers, DevOps Engineers and Quality Engineers throughout the development lifecycle.
• Research and evaluate suitable models, frameworks and technologies for each AI use case.

REQUIREMENTS

• At least 2 years of experience in Software Engineering or AI Engineering.
• Strong programming skills in at least one language: Python, Java or Go .
• Hands-on experience with LLM, Generative AI, RAG and Prompt Engineering .
• Understanding of embedding, vector search and vector databases.
• Experience developing RESTful APIs or microservices.
• Ability to build an AI application end-to-end, from prototype to production.
• Understanding of databases, cloud platforms and software architecture.
• Basic experience with Docker and CI/CD.
• Understanding of common LLM challenges, including hallucination, context management, token limits, latency and cost.
• Good debugging, problem-solving and AI application optimization skills.
• Experience with LangChain, LangGraph, LlamaIndex or equivalent frameworks is an advantage.
• Experience with AWS, Azure or GCP is an advantage.

POSITION 2: SENIOR AI DEVELOPER

JOB DESCRIPTION

• Provide technical leadership for AI applications and the AI platform.
• Design production-grade, end-to-end architecture for LLM and Generative AI solutions.
• Design and develop RAG, Agentic AI and tool-calling solutions.
• Define technical standards, development frameworks, coding conventions and best practices for the AI engineering team.
• Evaluate and select suitable models, AI frameworks, vector databases and cloud services.
• Design integrations between AI services, APIs, databases, knowledge bases and enterprise systems.
• Ensure the scalability, performance, reliability, security and maintainability of AI solutions.
• Establish LLM evaluation, guardrails, observability, logging and monitoring mechanisms.
• Review solution designs and source code and resolve complex technical issues.
• Mentor AI Engineers and support the team in making technical and architectural decisions.
• Collaborate with Business Analysts, AI Specialists, Backend Engineers, DevOps, Security and Quality teams.

REQUIREMENTS

• At least 5 years of experience in Software Engineering or AI Engineering.
• Strong programming skills in Python, Java or Go .
• Hands-on experience with LLM, Generative AI, RAG, Prompt Engineering, embedding and vector search .
• Strong experience with Agentic AI, tool calling and agent orchestration .
• Proven experience designing and implementing production-grade AI architecture.
• Strong knowledge of APIs, microservices and distributed systems.
• Experience with at least one cloud platform: AWS, Azure or GCP.
• Hands-on experience with Docker, Kubernetes and CI/CD.
• Good understanding of LLM Evaluation, Guardrails and Observability.
• Strong understanding of scalability, latency, security, monitoring and cost optimization for AI systems.
• Experience in technical leadership, architecture decisions, code review and mentoring.
• Experience with L…